Custom classifiers to detect sexist language.
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Updated
Feb 11, 2021 - Jupyter Notebook
Custom classifiers to detect sexist language.
Code for EXIST 2025 Task 1.1, 1.2 and 1.3
Analyze user comments through Natural Language Processing (NLP) techniques and Analyze sexism dataset
Explainable Machine Learning in Linguistics and Applied NLP: Two Case Studies of Norwegian Dialectometry and Sexism Detection in French Tweets
Ghast farming addon for Meteor Client
Human Language Technologies (HLT) project. Computer Science Master Degree, University of Pisa. A.Y 2023/2024
Submission for SemEval 2023 Task 10 EDOS
The project focuses on identifying signs of sexism in texts through three tasks: identifying sexism, categorizing sexism, and sub-categorizing sexism. The best model used for completing these tasks is RoBERTa pre-trained on hate speech with the addition of data augmentation and learning rate scheduler techniques.
Proyecto en pareja realizado en Adalab bajo metodologías Agile/Scrum. Exploración de datos (EDA) y visualización en Power BI para analizar la representación y sexualización de personajes femeninos en videojuegos, así como la baja presencia de mujeres en la industria.
Solution using adversarial training for the explainable detection of sexism in social networks (EDOS) task as part of SEMEVAL 2023
Natural Language Processing for Sexism Detection
Benchmark tool aimed at evaluating biases of large language models
Text classification with ngrams for Natural Language Processing case study @ Università degli Studi di Bari Aldo Moro, AY 2023/24
Transformer-based sexism detection in Spanish tweets
NLP deep evaluation of sexist tweets w/ both LSTMs and Transformer-based LLMs fine-tuning.
Assignments in the realm of Natural Language Processing for Sexism Detection, developed as part of the NLP course at the University of Bologna.
Bengali Misogyny Identification with Deep Learning and LIME.
Generated a dataset, built a hybrid model, and deployed a browser extension for K-Pop Sexism Detection
Exploring different state-of-the-art machine learning and deep learning techniques for binary classification of sexist sentences for Machine Learning exam @ Università degli Studi di Bari Aldo Moro, AY 2023/24
Sexism Detection in Tweets using BiLSTM + GloVe and RoBERTa. Preprocessing, training, evaluation, and error analysis included.
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